There has been rapid growth in the collection of player tracking data in recent years. These
data, providing spatiotemporal locations of players and ball at high resolution, have spurred …

Understanding broadcast videos is a challenging task in computer vision, as it requires
generic reasoning capabilities to appreciate the content offered by the video editing. In this …

Abstract Monocular Depth Estimation (MDE) is fundamental in sports video understanding
enhancing augmented graphics scene understanding and game state reconstruction …

Football stands as one of the most successful sports in history thanks to the plethora of
professional leagues broadcasted worldwide followed by avid fans further fueled by the …

Soccer videos are a rich playground for computer vision, involving many elements, such as
players, lines, and specific objects. Hence, to capture the richness of this sport and allow for …

Tracking and identifying athletes on the pitch holds a central role in collecting essential
insights from the game such as estimating the total distance covered by players or …

Soccer is more than just a game-it is a passion that transcends borders and unites people
worldwide. From the roar of the crowds to the excitement of the commentators, every …

Abstract The Video Assistant Referee (VAR) has revolutionized association football,
enabling referees to review incidents on the pitch, make informed decisions, and ensure …

Soccer broadcast video understanding has been drawing a lot of attention in recent years
within data scientists and industrial companies. This is mainly due to the lucrative potential …

In video understanding, action spotting consists in temporally localizing human-induced
events annotated with single timestamps. In this paper, we propose a novel loss function that …